TY - JOUR T1 - CPAP treatment response in obstructive sleep apnea using the AERScore predictor JF - European Respiratory Journal JO - Eur Respir J DO - 10.1183/13993003.congress-2015.PA2368 VL - 46 IS - suppl 59 SP - PA2368 AU - Alexandru Topirceanu AU - Lucretia Udrescu AU - Stefan Mihaicuta Y1 - 2015/09/01 UR - http://erj.ersjournals.com/content/46/suppl_59/PA2368.abstract N2 - Objectives: To predict the effectiveness of CPAP treatment in obstructive sleep apnea (OSA) before measuring the patient's AHI, based solely on the anthropometric risk factors, using the validated AERScore methodology (Topirceanu et. al, ERJ 2014, 44(58) nr.2215).Methods: We assess previous studies using a methodology inspired by the Network Medicine approach on a validation database of 231 patients (2013) from Timisoara “Victor Babes” Hospital. The AERScore considers patient gender, age, BMI, blood pressure, neck circumference and the Epworth sleepiness score, and is divided in four risk-severity intervals corroborated with the patient's AHI: low, moderate, high and very high risk of OSA.Results: The AER predictor is correlated with the analysis of the patient database, and we use it to assess the response to OSA using CPAP treatment. With minimal investigation, we can associate patients prone to OSA a CPAP effectiveness score used to prioritize their treatment. The accuracy of this score is 55.8% strongly correlated, and 99.3% weakly correlated, with a match between a patient's AHI and AER risk groups as in Fig. 1. Conclusions: The score serves as a predictive classifier of severity, with a high degree of accuracy, if a patient is prone to developing OSA. This model is used to categorize OSA severity and triage patients for CPAP treatment without the need for expensive and time-consuming investigations. ER -